Advancing laboratory operations

Manual laboratory processes

Efficiency in laboratory operations has become more crucial than ever, especially as the volume and complexity of testing increases. Traditional, paper-based processes are often error-prone, labor-intensive, and difficult to manage, affecting productivity and posing a risk to data integrity and compliance.

Many labs face reduced efficiency in manual processes, leading to increased data recording errors, increased staff frustration, and decreased lab morale.

Labs also face a significant loss in time and resources correcting errors from manual processes or handling redundant data entries, highlighting the need for automation.

Data and information silos

Labs often struggle with data silos that hinder collaboration between research teams or departments. The information is hard to find to consolidate. This fragmentation leads to incomplete analysis and complicates regulatory compliance efforts, potentially compromising research integrity.

Complex laboratory workflows

Unstructured workflows create delays and inefficiencies. Existing inefficient lab workflows are frequently characterized by bottlenecks and delays, making optimization difficult. These complexities limit the flexibility to experiment with new protocols or implement process improvements quickly.

Regulatory and compliance burdens

Regulatory and standardisation bodies, such as the FDA, ISO, and other international organizations, have stringent requirements for data management, traceability, and audit readiness.

Compliance requirements have complicated lab documentation and audit processes. This has raised data security concerns and slowed labs’ ability to adapt to changes in the regulatory landscape or adopt new research methodologies.